ODIn/spark-instrumented-optimizer
1
0
Fork 0
Code Issues Pull requests Projects Releases Wiki Activity
spark-instrumented-optimizer/sql
History
maryannxue e120a38c0c [SPARK-25505][SQL] The output order of grouping columns in Pivot is different from the input order 
## What changes were proposed in this pull request?

The grouping columns from a Pivot query are inferred as "input columns - pivot columns - pivot aggregate columns", where input columns are the output of the child relation of Pivot. The grouping columns will be the leading columns in the pivot output and they should preserve the same order as specified by the input. For example,
```
SELECT * FROM (
  SELECT course, earnings, "a" as a, "z" as z, "b" as b, "y" as y, "c" as c, "x" as x, "d" as d, "w" as w
  FROM courseSales
)
PIVOT (
  sum(earnings)
  FOR course IN ('dotNET', 'Java')
)
```
The output columns should be "a, z, b, y, c, x, d, w, ..." but now it is "a, b, c, d, w, x, y, z, ..."

The fix is to use the child plan's `output` instead of `outputSet` so that the order can be preserved.

## How was this patch tested?

Added UT.

Closes #22519 from maryannxue/spark-25505.

Authored-by: maryannxue <maryannxue@apache.org>
Signed-off-by: gatorsmile <gatorsmile@gmail.com>
2018-09-28 00:09:06 -07:00
..
catalyst [SPARK-25505][SQL] The output order of grouping columns in Pivot is different from the input order 2018-09-28 00:09:06 -07:00
core [SPARK-25505][SQL] The output order of grouping columns in Pivot is different from the input order 2018-09-28 00:09:06 -07:00
hive [SPARK-25459][SQL] Add viewOriginalText back to CatalogTable 2018-09-27 17:55:08 -07:00
hive-thriftserver [SPARK-25436] Bump master branch version to 2.5.0-SNAPSHOT 2018-09-15 16:24:02 -07:00
create-docs.sh [MINOR][DOCS] Minor doc fixes related with doc build and uses script dir in SQL doc gen script 2017-08-26 13:56:24 +09:00
gen-sql-markdown.py [SPARK-21485][FOLLOWUP][SQL][DOCS] Describes examples and arguments separately, and note/since in SQL built-in function documentation 2017-08-05 10:10:56 -07:00
mkdocs.yml [SPARK-21485][SQL][DOCS] Spark SQL documentation generation for built-in functions 2017-07-26 09:38:51 -07:00
README.md [MINOR][DOC] Fix some typos and grammar issues 2018-04-06 13:37:08 +08:00

README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allow users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.

Running sql/create-docs.sh generates SQL documentation for built-in functions under sql/site.